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Anatomical modelling of the musculoskeletal system from MRI

Gilles, B. and Moccozet, L. and Magnenat-Thalmann, N.


Abstract: This paper presents a novel approach for multi-organ (musculoskeletal system) automatic registration and segmentation from clinical MRI datasets, based on discrete deformable models (simplex meshes). We reduce the computational complexity using multi-resolution forces, multi-resolution hierarchical collision handling and large simulation time steps (implicit integration scheme), allowing real-time user control and cost-effcient segmentation. Radial forces and topological constraints (attachments) are applied to regularize the segmentation process. Based on a medial axis constrained approximation, we effciently characterize shapes and deformations. We validate our methods for the hip joint and the thigh (20 muscles, 4 bones) on 4 datasets: average error=1.5mm, computation time=15min.


@inproceedings{175,
  booktitle = {Proc. International conference on medical image computing and computer assisted intervention (MICCAI'06)},
  author = {Gilles, B. and Moccozet, L. and Magnenat-Thalmann, N.},
  title = {Anatomical modelling of the musculoskeletal system from MRI},
  volume = {Vol. 4190},
  pages = {289-296},
  month = oct,
  year = {2006},
  topic = {Medical},
  project = {CO-ME}
}